The Prompt Engineering Substack
Dan ClearyOur only goal here is to help you get better and more consistent outputs from LLMs using prompt engineering. We read the latest papers on arXiv, test different prompting methods, and report on what we find.
| Platform |  | Pricing | Only free issues | Publishes | Weekly |
|---|---|---|---|---|---|
| Issues | 58 | Subscribers | Read | prompthub.substack.com |
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Latest Issues
Recent posts by this newsletter. Browse the email archive.
Microsoft launches their first model
Microsoft just launched two in-house models, with no help or collaboration with OpenAI. Currently the model is ranking 13th in LMArena, and the voice version is really slick.
How to actually use GPT-5
The response to GPT-5 has been mixed, to say the least. Some of this comes down to non-model performance reasons, like a few missteps in how OpenAI launched the models, but part of the backlash is tied directly to the model itself.
Context Rot: Why LLMs Fail as Context Windows Grow
Claude 4 Sonnet just hit a 1M-token context window this week. Model makers love to brag about perfect needle-in-a-haystack scores, but how do these models really behave when you feed them mountains of text? That is what the researchers at C...
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Authors
The writers behind this newsletter.
Founder of PromptHub, ultra-marathon runner, basketball fan
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